Prof. Wenke Zang

Shandong Normal University, China

Research Area: Business administration, management engineering, intelligent computing, machine learning, data mining

Brief introduction: Wenke Zang, Ph.D., Professor, and Doctoral Supervisor. Associate Dean of Meigu College and Chair of the Department of E-commerce at Shandong Normal University. Visiting Scholar at the McCoy College of Business Administration and the College of Sciences, University of Texas at San Antonio (UTSA) from 2015 to 2018. Expert Reviewer for Degree and Graduate Education at the Academic Degrees Center of the Ministry of Education. Senior Member of the China Computer Federation (CCF), Council Member of the Shandong Computer Society, and Council Member of the Computer Education Committee of the Shandong Higher Education Society. Recognized as a Shandong Provincial Science and Technology Expert and an Expert in Industrial and Information Technology of Shandong Province. Identified as a High-level Talent in Jinan City. Recipient of Shandong Normal University’s "Distinguished Young Scholar" Award and Excellent Graduate Supervisor Award. Leader of the university’s outstanding graduate mentoring team recognized under the "Five-Guidance" program.

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Prof. Pingping Fu

Suzhou City University, China

Research Area: Public administration and Business administration

Brief introduction: Professor, Ph.D., and Master' s Supervisor at the School of Digital Economy and Management. Ph.D. in Management Science and Engineering from Harbin Institute of Technology. Visiting Scholar at the University of North Carolina at Chapel Hill, USA.

In recent years, has published over 20 papers indexed by SSCI, SCI, EI, and CSSCI. Has supervised more than 30 graduates in Public Administration, Business Administration, and MBA programs.

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Prof. Ing. Tai Fe

Dortmund University of Applied Sciences and Arts, Germany

Research Area: Signal processing, environment perception, robotics, and automated systems

Brief introduction: Tai Fei (Senior Member, IEEE) is an Interim Professor of Computer Vision and Robotics at Dortmund University of Applied Sciences and Arts, Germany. He holds a B.Eng. in Telecommunication Engineering from Shanghai Maritime University, China (2005), and both Dipl.-Ing. and Dr.-Ing. degrees in Electrical Engineering and Information Technology from Darmstadt University of Technology (TUD), Germany (2009 and 2014, respectively). From 2009 to 2012, he was a Research Associate at Hochschule Bremen, where he contributed to pioneering research on underwater mine detection using sonar imagery in collaboration with TUD. In 2013, he joined the University of Bremen, where he further expanded his expertise in signal processing. Between 2014 and 2023, he worked as a Development Engineer at HELLA GmbH & Co. KGaA, playing a key role in advancing automotive radar signal processing and sensing technologies. Since November 2023, he has been with Dortmund University of Applied Sciences and Arts. Actively engaged in the academic community, he serves as an Associate Editor for both the IEEE Sensors Journal and IEEE Access and has reviewed over 500 publications for prestigious venues. He was also the Lead Guest Editor for the IEEE Sensors Journal's special issue on "Smartness and Robustness of Spatial Environment Perception in Automated Systems." Dr. Fei is extensively involved in organizing and contributing to international conferences and workshops. He co-chaired special sessions at the IEEE Radar Conference 2023 and IEEE SAM 2024. In 2024, he serves on multiple program committees, including the International Program Committee of the 17th International Conference on Sensing Technology (ICST 2024) in Sydney, Australia, the Technical Program Committee of the 2024 International Conference on Electronics, Communication, and Automation in China, and the Scientific Committee of the 3rd World Symposium on Materials Sciences and Engineering 2024 (HYBRID), where he is also a Session Chair and Invited Speaker. Looking ahead to 2025, he will chair a special session at the 33rd European Signal Processing Conference (EUSIPCO 2025) and serve as Co-Chair of the Technical Program Committee for the 5th International Conference on Computer Vision, Applications, and Algorithms (CVAA 2025).

As Lead Guest Editor, he is also organizing the special issue on "Advances in Signal Processing for Automotive Radar: Robustness, Performance, and Emerging Techniques" in the EURASIP Journal on Advances in Signal Processing (JASP), collaborating with six distinguished professors from Germany and the USA. Among his notable achievements, he co-authored the award-winning paper "An Improved Stepped-Frequency PMCW Waveform for Automotive Radar Applications," which received the Best Paper Award at GeMiC 2024.

 Title:  PMCW Radar for Automotive Applications: Advancements, Challenges, and Future Perspectives

Assoc. Prof. Anas Bilal

Hainan Normal University, China

Research Area: AI, computer vision, medical imaging, remote sensing, and pattern recognition

Brief Introduction: Dr. Anas Bilal, a distinguished scholar at the College of Information Science and Technology, Hainan Normal University, Haikou, China, is recognized among the Top 2% Scientists for 2024 by Stanford University and Elsevier. With over 100 publications in prestigious journals. A Senior Member of IEEE, Dr. Bilal holds editorial and advisory roles in renowned journals like Scientific Reports, PLOS ONE, and Frontiers in AI. He has chaired major international conferences such as BDAITM 2023 and ICPPOE 2022 and has been a keynote speaker at global forums. Dr. Bilal is also a member of professional bodies in the USA and UK, with his leadership and pioneering work continuing to drive advancements in technology and engineering.

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Assoc. Prof. Yuanyuan Cai

Shanghai University, China

Research Area: Consumer behavior, brand management; consumer well-being issues such as sustainable consumption behavior and health management behavior in the context of intelligence, as well as brand management research issues such as brand positioning and brand values

Brief introduction: Associate Professor and Master Supervisor, awarded the title of Shanghai Pujiang Talent, Department of Business Administration, Sydney Business School, Shanghai University, July 2013 - present, Zero Point Market Research Consulting Group, July 2007-August 2009, Visiting Scholar, University of Toronto, January 2011-January 2012, Main course: Consumer Behavior, Brand Management, Marketing, Management Psychology

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